Importing Dataset

setwd("C:/Users/Skasiv/Dropbox/My PC (LAPTOP-L8J5JVJ8)/Desktop/DVA/R")
sales_data=read.csv("C:/Users/Skasiv/Dropbox/My PC (LAPTOP-L8J5JVJ8)/Desktop/DVA/R/Visualization Case Study/SalesData.csv")
library(dplyr)
library(ggplot2)
library(lubridate)
library(plotly)
library(tidyr)
library(scales)
library(plotrix)

Ques1

old_data=sales_data%>%group_by(Region)%>%
        summarise(TotalSales2015 = sum(Sales2015),TotalSales2016 = sum(Sales2016))

new_data=gather(old_data,key =Year,value = Sales,TotalSales2015,TotalSales2016)

ggplotly(new_data%>%ggplot(aes(x=Region,y=Sales,fill=Year))+geom_bar(stat="identity",position = "dodge")+scale_y_continuous(labels =label_number(suffix=" M",scale=1e-6))+geom_text(aes(label=round(Sales,0)),size=3,vjust=-0.25)+ggtitle("Sales by Region"))

Ques 2

2D Pie Chart A

data2=sales_data%>%group_by(Region)%>%summarise(Sales16=sum(Sales2016))
pie(data2$Sales16,labels=data2$Region,radius = 1,border = "black",main="Percentage Sales For Each Region In 2016")

2D Pie Chart B

pie(data2$Sales16,labels=paste0(round((data2$Sales16/sum(data2$Sales16))*100,0),"%"," : ",data2$Region),col=rainbow(length(data2$Sales16)),radius = 1,border = "black",main="Percentage Sales For Each Region In 2016 ")

3D Pie Chart

pie3D(data2$Sales16,labels=paste0(round((data2$Sales16/sum(data2$Sales16))*100,0),"%"," : ",data2$Region),col=rainbow(length(data2$Sales16)),radius = 1,border = "black",explode = 0.12,main="Percentage Sales For Each Region In 2016 ")

Ques3

options(dplyr.summarise.inform=FALSE)
data3=sales_data%>%group_by(Region,Tier)%>%summarise(TotalSales2015=sum(Sales2015),TotalSales2016=sum(Sales2016))
newdata3=gather(data3,key = Year,value = Sales,-Region,-Tier)

newdata3%>%ggplot(aes(x=Tier,y=Sales,fill=Year))+geom_bar(stat="identity",position="dodge")+facet_wrap(~Region)+scale_y_continuous(labels =label_number(suffix=" M",scale=1e-6))+ggtitle("Sales By Region & Tiers")

Ques4

data4=sales_data%>%filter(Region=="East")%>%group_by(State)%>%summarise(TotalSales2015=sum(Sales2015),TotalSales2016=sum(Sales2016))
newdata4=gather(data4,key=Year,value=Sales,-State)
newdata4%>%ggplot(aes(x=State,y=Sales,fill=Year))+geom_bar(width=0.6,stat="identity",position="dodge",color="black")+theme(axis.text.x=element_text(size=7))+scale_y_continuous(labels = label_number(suffix = "M",scale=1e-6))+ggtitle("Sales By State")

Ques5

data5=sales_data%>%filter(Tier=="High")%>%group_by(Division)%>%summarise(TotalUnits2015=sum(Units2015),TotalUnits2016=sum(Units2016))
newdata5=gather(data5,key=Year,value=Units,-Division)
newdata5%>%ggplot(aes(x=Division,y=Units,fill=Year))+geom_bar(width=0.6,stat="identity",position = "dodge")+theme(axis.text.x=element_text(angle = 90, vjust = 0.5, hjust=1,size=7))+ggtitle("Units Sold By Division")

Ques6

sales_data$Qtr=if_else(sales_data$Month == "Jan" | sales_data$Month == "Feb"|sales_data$Month == "Mar","Q1",if_else(sales_data$Month == "Apr"|sales_data$Month == "May" | sales_data$Month == "Jun","Q2",
if_else(sales_data$Month == "Jul" | sales_data$Month == "Aug" | sales_data$Month == "Sep","Q3","Q4")))

Ques7

data7=sales_data%>%group_by(Qtr)%>%summarise(TotalSales2015=sum(Sales2015),TotalSales2016=sum(Sales2016))
newdata7=gather(data7,key=Year,value = Sales,-Qtr)
newdata7%>%ggplot(aes(x=Qtr,y=Sales,fill=Year))+geom_bar(stat = "identity",position="dodge")+ggtitle("Quarter Wise Sales")+scale_y_continuous(labels = label_number(suffix = " M",scale=1e-6))

Ques8

q1 = sales_data%>%group_by(Qtr,Tier)%>%filter(Qtr=="Q1")%>%summarise(TotalSales2015 = sum(Sales2015))
q2 = sales_data%>%group_by(Qtr,Tier)%>%filter(Qtr=="Q2")%>%summarise(TotalSales2015 = sum(Sales2015))
q3 = sales_data%>%group_by(Qtr,Tier)%>%filter(Qtr=="Q3")%>%summarise(TotalSales2015 = sum(Sales2015))
q4 = sales_data%>%group_by(Qtr,Tier)%>%filter(Qtr=="Q4")%>%summarise(TotalSales2015 = sum(Sales2015))

pie1 = round(q1$TotalSales2015/sum(q1$TotalSales2015)*100,1)
pie2 = round(q2$TotalSales2015/sum(q2$TotalSales2015)*100,1)
pie3 = round(q3$TotalSales2015/sum(q3$TotalSales2015)*100,1)
pie4 = round(q4$TotalSales2015/sum(q4$TotalSales2015)*100,1)


lbls1 = q1$Tier         
lbls2 = q2$Tier      
lbls3 = q3$Tier        
lbls4 = q4$Tier        

par(mfrow = c(2,2)) 
pie(q1$TotalSales2015,labels = lbls2 ,radius = 1,main = "Qtr 1")
pie(q2$TotalSales2015,labels = lbls2 ,radius = 1,main = "Qtr 2")
pie(q3$TotalSales2015,labels = lbls3 ,radius = 1,main = "Qtr 3")
pie(q4$TotalSales2015,labels = lbls4 ,radius = 1,main = "Qtr 4")